subject:(weather radar network)

1. Hopf, Anthony P. Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems.

Degree: PhD, Electrical and Computer Engineering, 2011, U of Massachusetts : PhD

URL: https://scholarworks.umass.edu/open_access_dissertations/367

► Complex engineered systems evolve, with a tendency toward self-organization, which can, paradoxically, frustrate the aims of those seeking to develop them. The systems engineer,… (more)

▼ Complex engineered systems evolve, with a tendency toward self-organization, which can, paradoxically, frustrate the aims of those seeking to develop them. The systems engineer, seeking to promote the development in the context of changing and uncertain requirements, is challenged by conceptual gaps that emerge within engineering projects, particularly as they scale up, that inhibit communication among the various stakeholders. Overall optimization, involving multiple criterion, is often expressed in the language of the individual parties, increasing the complexity of the overall situation, subsuming the participants within the evolution of the complex engineered system, containing the objective and subjective in counterproductive or inefficient ways that can arrest healthy development. The conventional pragmatic systems engineering approach to the resolution of such situations is to introduce architectural discipline by way of separation of concerns. In complex engineered systems projects, the crucial interface, at any level of abstraction, is between the technical domain experts and higher level decision makers. Bridging the ensuing conceptual gap requires models and methods that provide communication tools promoting a convergence of the conversation between these parties on a common "common sense" of the underlying reality of the evolving engineered system. In the interest of conceptual clarity, we confine our investigation to a restricted, but important general class of evolving engineered system, information gathering and utilizing systems. Such systems naturally resolve the underlying domain specific measures by reduction into common plausible information measures aimed at an overall sense of informativeness. For concreteness, we further restrict the investigation and the demonstration to a species that is well documented in the open literature: weather radar networks, and in particular to the case of the currently emerging system referred to as CASA. The multiobjective problem of objectively exploring the high dimensionality of the decision space is done using multiobjective genetic algorithms (MOGA), specifically the John Eddy genetic algorithms (JEGA), resulting in well-formed Pareto fronts and sets containing Pareto optimal points within 20% of the ideal point. A visualization technique ensures a clear separation of the subjective criterion provided by the decision makers by superficially adding preferences to the objective optimal solutions. To identify the integrative objective functions and test patterns utilized in the MOGA analysis, explorations of networked weather radar technologies and configuration are completed. The explorations identify trends within and between network topologies, and captures both the robustness and fragility of network based measurements. The information oriented measures of fusion accuracy and precision are used to evaluate pairs of networked weather radars against a standardized low order vortex test pattern, resulting in a metrics for characterizing the… Advisors/Committee Members: Alfred P. DeFonzo, Christopher V. Hollot, Stephen Frasier.

Subjects/Keywords: decision problem; information oriented; Informativeness; radar network; sensor systems; weather radar; Electrical and Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hopf, A. P. (2011). Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/367

Chicago Manual of Style (16^th Edition):

Hopf, Anthony P. “Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems.” 2011. Doctoral Dissertation, U of Massachusetts : PhD. Accessed March 08, 2021. https://scholarworks.umass.edu/open_access_dissertations/367.

MLA Handbook (7^th Edition):

Hopf, Anthony P. “Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems.” 2011. Web. 08 Mar 2021.

Vancouver:

Hopf AP. Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2011. [cited 2021 Mar 08]. Available from: https://scholarworks.umass.edu/open_access_dissertations/367.

Council of Science Editors:

Hopf AP. Informativeness and the Computational Metrology of Collaborative Adaptive Sensor Systems. [Doctoral Dissertation]. U of Massachusetts : PhD; 2011. Available from: https://scholarworks.umass.edu/open_access_dissertations/367

2. Rocha Filho, Kleber Lopes da. Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico.

Degree: Mestrado, Meteorologia, 2010, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/14/14133/tde-21062013-124917/ ;

►

A Bacia do Alto Tiete abriga cerca de 50% dos habitantes do Estado de São Paulo e é afetada freqüentemente por eventos de inundações. Uma… (more)

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A Bacia do Alto Tiete abriga cerca de 50% dos habitantes do Estado de São Paulo e é afetada freqüentemente por eventos de inundações. Uma das principais fontes de problemas é a alta impermeabilização devida à ocupação da superfície nas últimas décadas. Um dos seus tributários secundários, a bacia do Rio Pirajuçara se insere neste contexto e sofre com problemas da mesma natureza. A modelagem hidrológica permite uma análise do escoamento superficial nestes ambientes e é útil na previsão de vazões por meio de redes telemétricas e sensoriamento remoto. Entretanto, redes telemétricas apresentam problemas de representatividade espacial e exposição, radares meteorológicos, apesar da maior resolução espaço-temporal das estimativas de precipitação, possuem várias fontes de erros e incertezas. A principal delas se refere à relação ZR. Deste modo, a integração dessas medições e estimativas pode minimizar erros de ambas. O objetivo deste estudo é analisar aspectos hidrológicos da Bacia do Rio Pirajuçara por meio do modelo TOPMODEL com medições de vazão e precipitação disponíveis para 18 eventos monitorados entre outubro de 2008 a outubro de 2009. O modelo TOPMODEL foi calibrado com dez eventos e verificado com os demais. A calibração foi realizada com os dados da telemetria da Bacia do Alto Tietê, radar meteorológico de São Paulo e a combinação de ambos por meio da análise objetiva estatística. Os resultados da calibração indicam que o melhor desempenho foi obtido com radar meteorológico, com número de NASH de 0,51, menor erro quadrático médio e menor viés médio absoluto. A verificação também indicou o mesmo resultado com número de NASH de 0,69. As simulações indicam que apesar da utilização da precipitação média, o modelo TOPMODEL simulou adequadamente cerca de 75% das vazões de alerta. O trabalho evidencia as limitações da telemetria e seus impactos na integração com os dados do radar.

The Alto Tiete watershed is home for about 50% of the inhabitants of São Paulo State and is affected by recurrent flashfloods. One major source of difficulties is the high rate of soil impermeabilization caused by dense surface occupation in the last decades. One of its secondary tributaries, the Pirajussara watershed suffers with similar problems. Hydrological modeling allows the analysis of runoff and other variables in these basins. It also useful for streamflow forecast based on telemetric networks and remote sensing measurements. However, surface networks lack spatial representativity and exposure is a also a issue, weather radars, in spite of their much higher spatial and temporal resolution rainfall estimation, are affect by several sources of errors and uncertainties; the most significant one being the ZR relationship. Thus, the integration of these measurements and estimates can minimize errors of both. The goal of the present work is to analyze the surface hydrology of the Pirajussara watershed based on the TOPMODEL, streamflow and rainfall measurements available for eighteen events between October 2008 and October 2009. The…

Advisors/Committee Members: Pereira Filho, Augusto Jose.

Subjects/Keywords: Hydrologic Modeling; Modelagem Hidrológica; Radar meteorológico; Raingauge Network.; Redes de Superfície; TOPMODEL; TOPMODEL; Weather Radar

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Rocha Filho, K. L. d. (2010). Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/14/14133/tde-21062013-124917/ ;

Chicago Manual of Style (16^th Edition):

Rocha Filho, Kleber Lopes da. “Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico.” 2010. Masters Thesis, University of São Paulo. Accessed March 08, 2021. http://www.teses.usp.br/teses/disponiveis/14/14133/tde-21062013-124917/ ;.

MLA Handbook (7^th Edition):

Rocha Filho, Kleber Lopes da. “Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico.” 2010. Web. 08 Mar 2021.

Vancouver:

Rocha Filho KLd. Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico. [Internet] [Masters thesis]. University of São Paulo; 2010. [cited 2021 Mar 08]. Available from: http://www.teses.usp.br/teses/disponiveis/14/14133/tde-21062013-124917/ ;.

Council of Science Editors:

Rocha Filho KLd. Modelagem Hidrológica da Bacia do Rio Pirajuçara com TOPMODEL, Telemetria e Radar Meteorológico. [Masters Thesis]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/14/14133/tde-21062013-124917/ ;

Colorado State University

3. Chen, Haonan. Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion.

Degree: PhD, Electrical and Computer Engineering, 2017, Colorado State University

URL: http://hdl.handle.net/10217/185786

► Rainfall estimation based on satellite measurements has proven to be very useful for various applications. A number of precipitation products at multiple time and space… (more)

▼ Rainfall estimation based on satellite measurements has proven to be very useful for various applications. A number of precipitation products at multiple time and space scales have been developed based on satellite observations. For example, the National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center has developed a morphing technique (i.e., CMORPH) to produce global precipitation products by combining existing space-based observations and retrievals. The CMORPH products are derived using infrared (IR) brightness temperature information observed by geostationary satellites and passive microwave-(PMW) based precipitation retrievals from low earth orbit satellites. Although space-based precipitation products provide an excellent tool for regional, local, and global hydrologic and climate studies as well as improved situational awareness for operational forecasts, their accuracy is limited due to restrictions of spatial and temporal sampling and the applied parametric retrieval algorithms, particularly for light precipitation or extreme events such as heavy rain. In contrast, ground-based radar is an excellent tool for quantitative precipitation estimation (QPE) at finer space-time scales compared to satellites. This is especially true after the implementation of dual-polarization upgrades and further enhancement by urban scale X-band radar networks. As a result, ground radars are often critical for local scale rainfall estimation and for enabling forecasters to issue severe weather watches and warnings. Ground-based radars are also used for validation of various space measurements and products. In this study, a new S-band dual-polarization radar rainfall algorithm (DROPS2.0) is developed that can be applied to the National Weather Service (NWS) operational Weather Surveillance Radar-1988 Doppler (WSR-88DP) network. In addition, a real-time high-resolution QPE system is developed for the Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) Dallas-Fort Worth (DFW) dense radar network, which is deployed for urban hydrometeorological applications via high-resolution observations of the lower atmosphere. The CASA/DFW QPE system is based on the combination of a standard WSR-88DP (i.e., KFWS radar) and a high-resolution dual-polarization X-band radar network. The specific radar rainfall methodologies at Sand X-band frequencies, as well as the fusion methodology merging radar observations at different temporal resolutions are investigated. Comparisons between rainfall products from the DFW radar network and rainfall measurements from rain gauges are conducted for a large number of precipitation events over several years of operation, demonstrating the excellent performance of this urban QPE system. The real-time DFW QPE products are extensively used for flood warning operations and hydrological modelling. The high-resolution DFW QPE products also serve as a reliable dataset for validation of Global Precipitation Measurement (GPM) satellite precipitation products. This… Advisors/Committee Members: Chandrasekar, V. (advisor), Reising, Steven C. (committee member), Cheney, Margaret (committee member), Mielke, Paul W. (committee member).

Subjects/Keywords: machine learning; remote sensing; weather radar network; quantitative precipitation estimation (QPE); dual-polarization radar; satellite

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, H. (2017). Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/185786

Chicago Manual of Style (16^th Edition):

Chen, Haonan. “Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion.” 2017. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021. http://hdl.handle.net/10217/185786.

MLA Handbook (7^th Edition):

Chen, Haonan. “Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion.” 2017. Web. 08 Mar 2021.

Vancouver:

Chen H. Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10217/185786.

Council of Science Editors:

Chen H. Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/185786

York University

4. Taylor, Brandon Mason. Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow.

Degree: MSc -MS, Earth & Space Science, 2018, York University

URL: http://hdl.handle.net/10315/35034

► The Canadian Weather Radar Network is currently undergoing an upgrade to po- larimetric, S-Band radar systems. Forecasting experiences in Canada with the legacy C-Band radars… (more)

Subjects/Keywords: Meteorology; Weather Radar; NEXRAD; Canadian Weather Radar Network; Environment and Climate Change Canada; Snow; Lake-Effect Snow; Snow Squall; Lake Ontario; Objective Analysis; Open Source Software; S-Band; C-Band

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Taylor, B. M. (2018). Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/35034

Chicago Manual of Style (16^th Edition):

Taylor, Brandon Mason. “Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow.” 2018. Masters Thesis, York University. Accessed March 08, 2021. http://hdl.handle.net/10315/35034.

MLA Handbook (7^th Edition):

Taylor, Brandon Mason. “Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow.” 2018. Web. 08 Mar 2021.

Vancouver:

Taylor BM. Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow. [Internet] [Masters thesis]. York University; 2018. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10315/35034.

Council of Science Editors:

Taylor BM. Direct Comparisons of Polarimetric C-Band and S-Band Radar in Snow. [Masters Thesis]. York University; 2018. Available from: http://hdl.handle.net/10315/35034

Brno University of Technology

5. Putna, Lukáš. Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar.

Degree: 2018, Brno University of Technology

URL: http://hdl.handle.net/11012/54491

► This work deals with the concept and implementation of short term rain prediction system using meteo-radar. Some basic methods are mentioned and then artificial neural… (more)

Subjects/Keywords: Predikce deště; krátkodobá předpověď počasí; umělá neuronová síť; meteorologický radar; zpracování obrazu; trénování neuronových sítí.; Rain prediction; short term weather prediction; artificial neural network; meteorological radar; image processing; neural network training.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Putna, L. (2018). Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54491

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Putna, Lukáš. “Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar.” 2018. Thesis, Brno University of Technology. Accessed March 08, 2021. http://hdl.handle.net/11012/54491.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Putna, Lukáš. “Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar.” 2018. Web. 08 Mar 2021.

Vancouver:

Putna L. Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/11012/54491.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Putna L. Predikce deště pomocí meteorologického radaru: Rain Prediction Using Meteo-Radar. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/54491

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

6. Vlček, Michael. Predikce deště z meteoradaru: Prediction of Raining from Meteoradar.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/52365

► This thesis deals with rain prediction using information from meteoradar images and some other relevant factors through the computational model of a neural network. It… (more)

Subjects/Keywords: Předpověď deště; počasí; meteoradar; radarové snímky; zpracování obrazu; neuron; umělé neuronové sítě; predikční model; dopředná neuronová síť se zpětným šířením chyby; učící algoritmy; Rain prediction; weather; meteoradar; radar images; image processing; neuron; artificial neural networks; prediction model; feed-forward backpropagation neural network; learning algorithms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Vlček, M. (2019). Predikce deště z meteoradaru: Prediction of Raining from Meteoradar. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52365

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Vlček, Michael. “Predikce deště z meteoradaru: Prediction of Raining from Meteoradar.” 2019. Thesis, Brno University of Technology. Accessed March 08, 2021. http://hdl.handle.net/11012/52365.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Vlček, Michael. “Predikce deště z meteoradaru: Prediction of Raining from Meteoradar.” 2019. Web. 08 Mar 2021.

Vancouver:

Vlček M. Predikce deště z meteoradaru: Prediction of Raining from Meteoradar. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/11012/52365.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vlček M. Predikce deště z meteoradaru: Prediction of Raining from Meteoradar. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/52365

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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